{smcl}
{* 7may2003}{...}
{hline}
help for {hi:distplot7}
{hline}

{title:Distribution function plots} 
   
{p 15 19}
{cmd:distplot7} 
{it:varname}
[{it:weight}] 
[{cmd:if} {it:exp}] 
[{cmd:in} {it:range}]
[{cmd:,}
{cmdab:s:urv}
{it:graph_options}
{cmd:by(}{it:byvar}{cmd:)}
{cmdab:f:req} 
{cmdab:g:enerate(}{it:newvar}{cmd:)}
{cmd:mono}
{cmdab:miss:ing}
]

{p 15 19}
{cmd:distplot7} 
{it:varlist}
[{it:weight}] 
[{cmd:if} {it:exp}] 
[{cmd:in} {it:range}]
[{cmd:,}
{cmdab:s:urv}
{it:graph_options}
{cmdab:f:req} 
{cmd:mono}
]


{title:Description} 

{p}{cmd:distplot7} produces a plot of the cumulative distribution function(s)
for the variables in {it:varlist}. This shows the proportion (or if desired
the frequency) of values less than or equal to each value.

{p}With the {cmd:surv} option, {cmd:distplot7} produces a plot of the survival
(a.k.a. survivor, reliability, complementary or reverse distribution) 
function for each {it:varname}. This shows the proportion (or if desired the 
frequency) of values greater than each value, that is, the complement of 
the cumulative distribution function.

{p}fweights and aweights are allowed.

{p}{cmd:distplot7} is a renamed clone of {cmd:distplot} 1.6.1 which is for
Stata 7. Stata 8 users should use {cmd:distplot} 2.0.0 or later.
 

{title:Options} 

{p 0 4}{cmd:surv} specifies calculation and graphing of the survival function
rather than the distribution function.

{p 0 4}{it:graph_options} are options allowed with {cmd:graph, twoway}.

{p 4 4}Note that with {cmd:by()} each function is treated graphically as if it
were a separate variable, so long as the number of groups is not
greater than the limit in Stata on the number of {it:y} variables on a
scatter plot (20 in Stata 7.0).

{p 4 4}With more groups, all functions must be treated graphically as a single
variable, by using the {cmd:mono} option, which enforces a monochrome
treatment. The only {cmd:connect()} line style appropriate is then {cmd:c(L)},
and only one {cmd:pen()} and point {cmd:symbol()} may be used.
 
{p 4 4}If {cmd:ylog} is specified, zero values of the survival function are
automatically suppressed.

{p 0 4}{cmd:by(}{it:byvar}{cmd:)} specifies that calculations are to be carried out
separately for each class defined by {it:byvar}. Any graph will,
however, show the functions for all classes. For a graph with
separate panels for each class, use the {cmd:generate()} option and 
then {cmd:graph} {it:newvar varname}, 
{cmd:by(}{it:byvar}{cmd:)}. 
{cmd:by()} is only allowed with a single {it:varname}.

{p 0 4}{cmd:freq} specifies calculation of frequency rather than probability.

{p 0 4}{cmd:generate(}{it:newvar}{cmd:)} specifies a new variable in which the function will
be stored. {cmd:generate()} is only allowed with a single {it:varname}.

{p 0 4}{cmd:mono} specifies a monochrome treatment, with a single {cmd:pen()}
colour, {cmd:connect()} style and point {cmd:symbol()}. 
See above, under {it:graph_options}.

{p 0 4}{cmd:missing}, used only with {cmd:by()}, permits the use of non-missing values
of varname corresponding to missing values for the variable named by
{cmd:by()}. The default is to ignore such values.


{title:Examples} 


{inp:. distplot7 mpg} 

{inp:. distplot7 mpg, by(foreign) c(ll)}

{inp:. distplot7 mpg, by(foreign) c(JJ) surv} 

{inp:. distplot7 length width height} 


{title:Author}

         Nicholas J. Cox, University of Durham, U.K.
         n.j.cox@durham.ac.uk


{title:Acknowledgments} 

	{p 8 8}Elizabeth Allred made helpful
        comments during program development.
	Roger Harbord identified a limitation 
	and pointed to a way to resolve it. 


{title:Also see}

{p}On-line: help for {help graph}, {help cumul}, {help quantile}, {help quantil2} (if installed){p_end} 
 Manual: [R] graph, [R] cumul, [R] diagplots

